It’s March.  Which means millions of Americans are filling out brackets, arguing over 12-5 upsets, and pretending they actually watched mid-major conference tournaments.  March Madness might be the country’s most beloved exercise in mass prediction.  But while office pools are a fixture of the season, a much larger story is playing out in financial markets: the explosion of prediction markets, where the line between Wall Street and Las Vegas is starting to blur.

So What Exactly Is a Prediction Market?

At their core, prediction markets are exchanges where people buy and sell contracts tied to real-world outcomes.  Think of them like a stock market, except instead of trading shares in Apple, you are trading on whether Duke will win the NCAA Tournament, or which song Bad Bunny would open with at the Super Bowl halftime show, or whether it will snow in Miami on Christmas Day.  If someone is willing to take the other side, a contract probably exists for it.

The mechanics are surprisingly intuitive.  Every contract is priced between $0.00 and $1.00.  The price reflects what the market collectively thinks the probability of that event is.  If a contract trades at $0.30, the market is saying there is roughly a 30% chance it happens.  You put up 30 cents for a chance to win a dollar.  If you are right, you pocket $1.00.  If you are wrong, you lose your 30 cents.

The higher the perceived probability, the more expensive the contract.  Favorites cost more upfront, and longshots cost less.

Putting It in March Madness Terms

As of mid-March, a contract on Duke to win the 2026 NCAA Tournament traded at roughly $0.20 on Kalshi, one of the largest platforms. That means the market collectively pegged Duke’s chances at around 20%. You’d put up 20 cents for a shot at a dollar. Meanwhile, a deep longshot like a 16-seed might trade at $0.01 or less. Cheap to buy, but the odds are exactly what you’d expect. These prices update constantly as new information flows in. One upset, one injury, and the whole board shifts in real time.

From Niche Curiosity to $64 Billion Industry

Prediction markets are not exactly new, but until recently they were a niche corner of finance.  The 2024 presidential election changed that.  Platforms like Polymarket became real-time barometers of the race, with major media outlets citing their odds alongside traditional polls.  Monthly trading volume surged from under $100 million to over $4.5 billion that October.  The momentum never faded.  It expanded into sports, entertainment, economic data and virtually anything else with an uncertain outcome.  

By the end of 2025, global prediction market volume had reached roughly $64 billion, up more than 400% from the prior year.  The Super Bowl alone generated more than $6 billion in trading volume this year, and the NCAA Tournament is expected to generate hundreds of millions more. 

A key reason for the rapid spread is regulatory structure.  Because prediction markets are classified as financial instruments under federal commodities law rather than gambling, they can operate in states where traditional sports betting is banned.  A user in California or Texas who cannot legally place a bet on DraftKings can open Kalshi and trade on the NCAA tournament.  That regulatory distinction has been rocket fuel for growth, and it is also why regulators are pushing back. 

The $64 Billion Question: Is This Gambling?

This is where things get genuinely interesting.  And genuinely complicated.

Prediction market platforms are regulated by the Commodity Futures Trading Commission (CFTC), the same federal agency that oversees commodity derivatives like oil futures and wheat contracts.  However, they are not regulated as gambling under state gaming laws.  The platforms argue their products are financial instruments (event contracts) that happen to be tied to real-world outcomes, and are not bets because users trade contracts with each other rather than betting against a sportsbook. 

But here is the tension: sports-related event contracts now account for the vast majority of trading activity, with some reports indicating over 80% of volume.  When users are picking game winners, point spreads, and player props, the distinction between “event contract” and “sports bet” starts to feel more semantic than substantive. 

More than a dozen states have challenged these platforms in court, and the legal fight is still unfolding.  For now, the industry continues to grow while the courts sort it out. 

The Integrity Problem Nobody Solved Yet

Beyond the gambling question, there is an even thornier issue: insider trading.  In traditional securities markets, there is a mature framework for policing trades based on nonpublic information.  Prediction markets have far less infrastructure. 

That is manageable when the contract involves something like a game outcome.  It gets much murkier when people can trade on entertainment, politics, or other real-world events where many participants may know the answer before the public does.  Once the menu of tradable outcomes becomes almost limitless, so does the pool of potential insiders. 

Think back to that Bad Bunny opening song contract.  Dozens, if not hundreds of people likely knew the setlist before the show: choreographers, backup dancers, sound engineers, and stage crew.  Who among them counts as an “insider”?  And what about the friend who heard it over dinner?  Unlike corporate officers at public companies, most of these people have no legal obligation to keep it quiet. 

Keep in mind, the CFTC is an agency originally built to regulate corn and soybean derivatives.  It now finds itself responsible for policing halftime setlist leaks or whether a government staffer traded on a politician’s retirement timeline.  The regulatory infrastructure simply has not caught up with the speed of the market’s growth, and it is not clear whether it ever will. 

Why This Matters (Beyond the Bracket)

Prediction markets are not going away.  There is a legitimate case that they produce better forecasts than polls or expert panels, precisely because people tend to be more careful when their own money is on the line.  Major financial data providers have already started integrating prediction market odds into their platforms as real-time indicators of collective conviction.

But there is an old saying: if it looks like a duck, swims like a duck, and quacks like a duck, it is probably a duck.  Whatever label regulators ultimately apply, the practical reality for consumers can look and feel a lot like betting. 

If someone in your household has downloaded one of these apps, it is worth understanding that they do not offer the same protections as a traditional brokerage account.  Serious money is involved, and this is an industry worth watching whether you ever place a trade or not. 

And you can place a bet on that.